Instructions to use keshan/controlnet_amateur_drawings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use keshan/controlnet_amateur_drawings with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("keshan/controlnet_amateur_drawings") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- a6c42612e86b1d424659237288f7c9898ff0aff608f26815be8af779f8ff45b9
- Size of remote file:
- 1.6 MB
- SHA256:
- f04fb31cec1ebcea43c2b46112d0c5cc32ce971a754d03076e78ccb8f9c58262
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